{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DpAWjuE0zX__"
   },
   "source": [
    "# 2D XRay registration demo\n",
    "This demo is a toy example showing the usage of MONAI's registration capability.\n",
    "\n",
    "The demo mainly uses\n",
    "- a UNet-like registration network with an affine head to predict the affine transformation parameters;\n",
    "- a warp function, implemented as a MONAI C++/CUDA module, to transform the moving image.\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/master/2d_registration/registration_mednist.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lI6G5tLMzqUM"
   },
   "source": [
    "## Setup environment\n",
    "\n",
    "`pip install` with the `BUILD_MONAI=1` flag will fetch the latest source code from the MONAI repository, build MONAI's C++/CUDA extensions, and install the package.\n",
    "\n",
    "Setting `env BUILD_MONAI=1` indicates that when calling the relevant Python modules, MONAI will prefer those extensions instead of the Pytorch/Python native implementations.\n",
    "\n",
    "(The compilation may take a few to 10+ minutes.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%env BUILD_MONAI=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q git+https://github.com/Project-MONAI/MONAI#egg=monai[all]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HSGmeSK8zy4C"
   },
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9a4y9P06TzmR",
    "outputId": "fed609e0-8c23-409f-fb9b-7e1f838d46f1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MONAI version: 0.5.0+7.g9f4da6a\n",
      "Numpy version: 1.19.5\n",
      "Pytorch version: 1.8.1+cu101\n",
      "MONAI flags: HAS_EXT = True, USE_COMPILED = True\n",
      "MONAI rev id: 9f4da6acded249bba24c85eaee4ece256ed45815\n",
      "\n",
      "Optional dependencies:\n",
      "Pytorch Ignite version: 0.4.4\n",
      "Nibabel version: 3.0.2\n",
      "scikit-image version: 0.16.2\n",
      "Pillow version: 7.1.2\n",
      "Tensorboard version: 2.4.1\n",
      "gdown version: 3.6.4\n",
      "TorchVision version: 0.9.1+cu101\n",
      "ITK version: 5.1.2\n",
      "tqdm version: 4.60.0\n",
      "lmdb version: 0.99\n",
      "psutil version: 5.4.8\n",
      "\n",
      "For details about installing the optional dependencies, please visit:\n",
      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from monai.utils import set_determinism, first\n",
    "from monai.transforms import (\n",
    "    EnsureChannelFirstD,\n",
    "    Compose,\n",
    "    LoadImageD,\n",
    "    RandRotateD,\n",
    "    RandZoomD,\n",
    "    ScaleIntensityRanged,\n",
    "    EnsureTypeD,\n",
    ")\n",
    "from monai.data import DataLoader, Dataset, CacheDataset\n",
    "from monai.config import print_config, USE_COMPILED\n",
    "from monai.networks.nets import GlobalNet\n",
    "from monai.networks.blocks import Warp\n",
    "from monai.apps import MedNISTDataset\n",
    "\n",
    "import numpy as np\n",
    "import torch\n",
    "from torch.nn import MSELoss\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "print_config()\n",
    "set_determinism(42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IEdRdq0NUQj_"
   },
   "source": [
    "# Construct pairwise training inputs\n",
    "We use the `MedNISTDataset` object to download and unzip the actual data files.\n",
    "Then we select the hand class, convert the loaded data dicts into \"fixed_hand\" and \"moving_hand\" which will be preprocessed differently to create synthetic training pairs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "H9KlURISUxcr",
    "outputId": "51492daa-0cc9-41d2-b71f-d0ee4b117da9"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MedNIST.tar.gz: 59.0MB [00:07, 8.83MB/s]                            \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "downloaded file: ./MedNIST.tar.gz.\n",
      "Verified 'MedNIST.tar.gz', md5: 0bc7306e7427e00ad1c5526a6677552d.\n",
      "Verified 'MedNIST.tar.gz', md5: 0bc7306e7427e00ad1c5526a6677552d.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 47164/47164 [00:00<00:00, 145309.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " first training items:  [{'fixed_hand': './MedNIST/Hand/003696.jpeg', 'moving_hand': './MedNIST/Hand/003696.jpeg'}, {'fixed_hand': './MedNIST/Hand/001404.jpeg', 'moving_hand': './MedNIST/Hand/001404.jpeg'}, {'fixed_hand': './MedNIST/Hand/008882.jpeg', 'moving_hand': './MedNIST/Hand/008882.jpeg'}]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "train_data = MedNISTDataset(root_dir=\"./\", section=\"training\", download=True, transform=None)\n",
    "training_datadict = [\n",
    "    {\"fixed_hand\": item[\"image\"], \"moving_hand\": item[\"image\"]}\n",
    "    for item in train_data.data if item[\"label\"] == 4  # label 4 is for xray hands\n",
    "]\n",
    "print(\"\\n first training items: \", training_datadict[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "QZJCeerKTu3s"
   },
   "outputs": [],
   "source": [
    "train_transforms = Compose(\n",
    "    [\n",
    "        LoadImageD(keys=[\"fixed_hand\", \"moving_hand\"]),\n",
    "        EnsureChannelFirstD(keys=[\"fixed_hand\", \"moving_hand\"]),\n",
    "        ScaleIntensityRanged(keys=[\"fixed_hand\", \"moving_hand\"],\n",
    "                             a_min=0., a_max=255., b_min=0.0, b_max=1.0, clip=True,),\n",
    "        RandRotateD(keys=[\"moving_hand\"], range_x=np.pi/4, prob=1.0, keep_size=True, mode=\"bicubic\"),\n",
    "        RandZoomD(keys=[\"moving_hand\"], min_zoom=0.9, max_zoom=1.1, prob=1.0, mode=\"bicubic\", align_corners=False),\n",
    "        EnsureTypeD(keys=[\"fixed_hand\", \"moving_hand\"]),\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vUKGXidL2ViQ"
   },
   "source": [
    "## Visualisation of the training pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 402
    },
    "id": "LzFV9LY8VXy1",
    "outputId": "1444374e-0f51-4485-8ff8-4e1879fc03a4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "moving_image shape: torch.Size([64, 64])\n",
      "fixed_image shape: torch.Size([64, 64])\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "check_ds = Dataset(data=training_datadict, transform=train_transforms)\n",
    "check_loader = DataLoader(check_ds, batch_size=1, shuffle=True)\n",
    "check_data = first(check_loader)\n",
    "fixed_image = check_data[\"fixed_hand\"][0][0]\n",
    "moving_image = check_data[\"moving_hand\"][0][0]\n",
    "\n",
    "print(f\"moving_image shape: {moving_image.shape}\")\n",
    "print(f\"fixed_image shape: {fixed_image.shape}\")\n",
    "\n",
    "plt.figure(\"check\", (12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"moving_image\")\n",
    "plt.imshow(moving_image, cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"fixed_image\")\n",
    "plt.imshow(fixed_image, cmap=\"gray\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nwO0Q3Hg2hOJ"
   },
   "source": [
    "## Create the training pipelines\n",
    "We use a `CacheDataset` to capture the training pairs and accelerate the training process.\n",
    "The training data are fed into a `GlobalNet` which predicts image-level affine transformation parameters. A `Warp` layer is initialised and will be used for both training and inference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "DjSwFJJvW7Qc",
    "outputId": "d81e0f01-4ec7-4cd4-bd7f-645a1f5dfc9f"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 1000/1000 [00:01<00:00, 558.34it/s]\n"
     ]
    }
   ],
   "source": [
    "train_ds = CacheDataset(data=training_datadict[:1000], transform=train_transforms,\n",
    "                        cache_rate=1.0, num_workers=4)\n",
    "train_loader = DataLoader(train_ds, batch_size=16, shuffle=True, num_workers=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "zHAj8nuHXG-D"
   },
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda:0\")\n",
    "model = GlobalNet(\n",
    "    image_size=(64, 64),\n",
    "    spatial_dims=2,\n",
    "    in_channels=2,  # moving and fixed\n",
    "    num_channel_initial=16,\n",
    "    depth=3).to(device)\n",
    "image_loss = MSELoss()\n",
    "if USE_COMPILED:\n",
    "    warp_layer = Warp(3, \"border\").to(device)\n",
    "else:\n",
    "    warp_layer = Warp(\"bilinear\", \"border\").to(device)\n",
    "optimizer = torch.optim.Adam(model.parameters(), 1e-5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0a7hoesI29m4"
   },
   "source": [
    "## The training loops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "eyiL4ccmYsjt"
   },
   "outputs": [],
   "source": [
    "max_epochs = 200\n",
    "epoch_loss_values = []\n",
    "\n",
    "for epoch in range(max_epochs):\n",
    "    print(\"-\" * 10)\n",
    "    print(f\"epoch {epoch + 1}/{max_epochs}\")\n",
    "    model.train()\n",
    "    epoch_loss, step = 0, 0\n",
    "    for batch_data in train_loader:\n",
    "        step += 1\n",
    "        optimizer.zero_grad()\n",
    "\n",
    "        moving = batch_data[\"moving_hand\"].to(device)\n",
    "        fixed = batch_data[\"fixed_hand\"].to(device)\n",
    "        ddf = model(torch.cat((moving, fixed), dim=1))\n",
    "        pred_image = warp_layer(moving, ddf)\n",
    "\n",
    "        loss = image_loss(pred_image, fixed)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        epoch_loss += loss.item()\n",
    "        # print(f\"{step}/{len(train_ds) // train_loader.batch_size}, \"\n",
    "        #       f\"train_loss: {loss.item():.4f}\")\n",
    "\n",
    "    epoch_loss /= step\n",
    "    epoch_loss_values.append(epoch_loss)\n",
    "    print(f\"epoch {epoch + 1} average loss: {epoch_loss:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 282
    },
    "id": "hZYvG_oE32-9",
    "outputId": "354e2e53-85ae-4d48-a388-6206bc16e3f9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7effe90743d0>]"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "plt.plot(epoch_loss_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dEfFYtwgqy6i"
   },
   "source": [
    "# Visualise some validation results\n",
    "This section creates a set of previously unseen pairs of moving vs fixed hands,\n",
    "and use the network to predict the transformation between each pair."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Qgxi6nsQn1om",
    "outputId": "5c58700b-39c5-4435-a0b1-2d776e46c46b"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 500/500 [00:00<00:00, 803.96it/s]\n"
     ]
    }
   ],
   "source": [
    "val_ds = CacheDataset(data=training_datadict[2000:2500], transform=train_transforms,\n",
    "                      cache_rate=1.0, num_workers=0)\n",
    "val_loader = DataLoader(val_ds, batch_size=16, num_workers=0)\n",
    "for batch_data in val_loader:\n",
    "    moving = batch_data[\"moving_hand\"].to(device)\n",
    "    fixed = batch_data[\"fixed_hand\"].to(device)\n",
    "    ddf = model(torch.cat((moving, fixed), dim=1))\n",
    "    pred_image = warp_layer(moving, ddf)\n",
    "    break\n",
    "\n",
    "fixed_image = fixed.detach().cpu().numpy()[:, 0]\n",
    "moving_image = moving.detach().cpu().numpy()[:, 0]\n",
    "pred_image = pred_image.detach().cpu().numpy()[:, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 591
    },
    "id": "Sz-lwwv-oIZ6",
    "outputId": "b6583ea8-f5e8-418b-f369-ba8dcc851ffe"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x720 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "batch_size = 5\n",
    "plt.subplots(batch_size, 3, figsize=(8, 10))\n",
    "for b in range(batch_size):\n",
    "    # moving image\n",
    "    plt.subplot(batch_size, 3, b * 3 + 1)\n",
    "    plt.axis('off')\n",
    "    plt.title(\"moving image\")\n",
    "    plt.imshow(moving_image[b], cmap=\"gray\")\n",
    "    # fixed image\n",
    "    plt.subplot(batch_size, 3, b * 3 + 2)\n",
    "    plt.axis('off')\n",
    "    plt.title(\"fixed image\")\n",
    "    plt.imshow(fixed_image[b], cmap=\"gray\")\n",
    "    # warped moving\n",
    "    plt.subplot(batch_size, 3, b * 3 + 3)\n",
    "    plt.axis('off')\n",
    "    plt.title(\"predicted image\")\n",
    "    plt.imshow(pred_image[b], cmap=\"gray\")\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "registration_simple.ipynb",
   "provenance": [],
   "toc_visible": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
